Andrews Tang | Artificial Neural Networks | Best Researcher Award

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Mr. Andrews Tang | Artificial Neural Networks | Best Researcher Award

DIPPER Lab at KNUST, Ghana

👨‍🎓 Andrews Tang is a passionate computer engineering researcher from Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. With a deep interest in deep learning and computer vision, Andrews has worked on impactful projects in areas such as agricultural quality control, food safety, and aviation safety. His work, which includes the development of deep learning models for detecting red palm oil adulteration and tomato condition assessment, aims to address critical challenges in the African context. He is a recipient of multiple academic honors, including the Excellent Student’s Award and has presented at international conferences such as AfricAI and Deep Learning Indaba. Andrews also contributes as a teaching assistant and mentor in his field, shaping the next generation of computer engineering students. 🚀

Publication Profile : 

Google Scholar

 

🎓 Educational Background :

🎓 Bachelor of Science in Computer Engineering
Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana (2018-2022)
• First Class Honours
• Cumulative Weighted Average (CWA): 76.18%
• Final CGPA: 3.74/4.0 (WES Evaluation)

💼 Professional Experience :

Andrews Tang has a strong academic foundation and extensive research experience at KNUST, where he has worked on groundbreaking projects with the DIPPER Lab and Responsible AI Lab (RAIL). As an Undergraduate Researcher and Research Assistant, he has tackled diverse challenges, from designing a decentralized food traceability system for Ghana’s agricultural supply chain to developing innovative deep learning models for detecting palm oil adulteration using GhostNet and SqueezeNet. In the field of Aviation Safety, Andrews is currently working as a Machine Learning Engineer, focusing on enhancing the accuracy of the Instrument Landing System (ILS) for low-visibility conditions, where his predictive models have improved flight safety protocols. His other work includes contributions to EEG report classification, sign language recognition, and mineral ore recovery predictions. Alongside his technical expertise, Andrews actively participates in mentorship and teaching roles, providing guidance in computer vision and secure network systems to undergraduate students at KNUST.

📚 Research Interests : 

🔍 Deep Learning
📷 Computer Vision
🧠 AI in Agriculture and Food Safety
🌐 Blockchain in IoT
✈️ Machine Learning for Aviation Safety

Awards & Honors:

🏆 Excellent Student’s Award (2020, 2022, 2023)
🏆 Best Poster Award, Deep Learning Indaba, Accra, 2023
🌍 Member, Black in AI Fellowship, 2024

📝 Publication Top Notes :

  • Tchao, E. T., Gyabeng, E. M., Tang, A., Benyin, J. B. N., Keelson, E., & Kponyo, J. J. (2022). “An Open and Fully Decentralized Platform for Safe Food Traceability.” 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, pp. 487-493.
    DOI: 10.1109/CSCI58124.2022.00092
  • Tang, A., Agbemenu, A. S., Tchao, E. T., Keelson, E., Klogo, G. S., & Kponyo, J. J. (2024). “Assessing Blockchain and IoT Technologies for Agricultural Food Supply Chains in Africa: A Feasibility Analysis.” Heliyon, 10(4), e34584.
    DOI: 10.1016/j.heliyon.2024.e34584
  • Gyabeng, E. M., Tang, A., Agbemenu, A. S., Zaukuu, J. Z., Keelson, E., & Tchao, E. T. (2024). “AfroPALM – Afrocentric Palm Oil Adulteration Learning Models: An End-to-End Deep Learning Approach for Detection of Palm Oil Adulteration in West Africa.” LWT – Journal of Food Science and Technology. Preprint available at SSRN:
    https://ssrn.com/abstract=4917970
    Revised Manuscript Under Review By Elsevier LWT Journal.

 

 

 

Lin Zhang | Animal Ecophysiology | Best Researcher Award

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Dr. Lin Zhang | Animal Ecophysiology | Best Researcher Award

Associate Professor at Hubei University of Chinese Medicine, China

Dr. Lin Zhang is an Associate Professor at the School of Basic Medical Sciences, Hubei University of Chinese Medicine 🏫🔬. With a background in Ecology, Biochemistry, and Molecular Biology, his research focuses on the bioenergetics of ectotherms 🦎, examining how climate change impacts their metabolism and survival strategies 🌡️. He has conducted extensive fieldwork across China 🌍, contributing to significant studies in evolutionary physiology and metabolic scaling 🧬. As an active editorial board member and reviewer 📝, Dr. Zhang continues to influence scientific understanding in ecophysiology and evolution.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Lin Zhang holds a Ph.D. in Ecology from Nanjing Normal University (2013–2017), where his research focused on ecological systems. Prior to that, he completed a Master’s degree in Biochemistry and Molecular Biology and a Bachelor’s degree in Biology, both from Yunnan Normal University (2005–2012), specializing in molecular and cellular biology.

💼 Professional Experience :

Dr. Zhang is currently an Associate Professor at the School of Basic Medical Sciences, Hubei University of Chinese Medicine in Wuhan, China (Dec. 2022–Present). Before this, he served as an Assistant Professor at the same institution (Oct. 2020–Dec. 2022), where he led research on the bioenergetics of ectotherms, particularly tropical lizards, and explored how climate change influences their overwintering strategies. He also investigated macro-evolution in squamates, focusing on metabolism, activity, and reproduction. From 2017 to 2020, he was an Assistant Professor at the College of Life and Environmental Sciences, Hangzhou Normal University. His research includes significant fieldwork in various Chinese provinces, with over 58 months of field experience spanning locations from Qinghai to Hainan.

📚 Research Interests : 

Dr. Zhang’s research interests primarily center around ecophysiology, evolutionary physiology, and bioenergetics, with a particular focus on ectotherms. His work examines how environmental factors, such as climate warming, influence the metabolic rates, thermoregulation, and overwintering strategies of species like lizards and turtles. He also investigates macro-evolutionary patterns in reptiles, the role of gut microbiota, and metabolic scaling in squamates. Dr. Zhang is dedicated to understanding how environmental stressors and climate change affect physiological and ecological adaptations in wildlife, especially in reptiles and other ectothermic organisms.

📝 Publication Top Notes :

  1. Zhang, L., Zhang, K., Yang, F., Dayananda, B., Cao, Y., Hu, Z., & Liu, Y. (2024). Chromosome-level genome of Scolopendra mutilans provides insights into its evolution. Integrative Zoology. DOI: 10.1111/1749-4877.12871.
  2. Cao, Y., Mo, W., Li, Y., Xiong, Y., Wang, H., Zhang, Y., Lin, M., Zhang, L., & Li, X. (2024). Functional characterization of tung tree NBS-LRR genes reveals an NBS-LRR gene that mediates resistance against Fusarium wilt. BMC Biology, 22, 45.
  3. Cao, Y., Li, Q., & Zhang, L. (2023). The core triacylglycerol toolbox in woody oil plants reveals targets for oil production bioengineering. Frontiers in Plant Science, 14, 1170723.
  4. Zhang, L., Li, N., Dayananda, B., Wang, L., Chen, H., & Cao, Y. (2022). Genome-wide identification and phylogenetic analysis of TRP gene family members in Saurian. Animals, 12, 3593.
  5. Jiang, L., Fan, T., Wang, L., Zhang, L., & Xu, J. (2022). Divergence of flowering-related genes to control flowering in five Euphorbiaceae genomes. Frontiers in Plant Science, 13, 1015114.
  6. Cao, Y., Li, Y., Wang, L., Zhang, L., & Jiang, L. (2022). Evolution and function of ubiquitin-specific proteases (UBPs): Insight into seed development roles in plants. International Journal of Biological Macromolecules, 221, 796–805.
  7. Li, N., Tang, N., Wang, Z., & Zhang, L. (2022). Response of different waterbird guilds to landscape changes along the Yellow Sea coast: A case study. Ecological Indicators, 142, 109928.
  8. Zhang, L., Dayananda, B., Xia, J.-G., & Sun, B.-J. (2022). Editorial: Ecophysiological analysis of vulnerability to climate warming in ectotherms. Frontiers in Ecology and Evolution, 11, 946836.
  9. Zhang, L., Yang, F., Li, T., Dayananda, B., Lin, L., & Lin, C. (2022). Lessons from the diet: Captivity and sex shape the gut microbiota in an oviparous lizard (Calotes versicolor). Ecology and Evolution, 12, e8586.
  10. Zhang, L., Yang, F., Li, N., & Dayananda, B. (2021). Environment-dependent variation in gut microbiota of an oviparous lizard (Calotes versicolor). Animals, 11, 2461.
  11. Zhang, L., Yang, F., & Zhu, W.-L. (2021). Evidence for the ‘rate-of-living’ hypothesis in mammals and lizards but not in birds, with field metabolic rate. Comparative Biochemistry and Physiology A, 255, 110867.
  12. Cheng, K., Zhang, L., Wang, J., Xu, C., & Lu, H. (2020). Metabolic expenditure and feeding performance in hatchling yellow pond turtles (Mauremys mutica) from different incubation temperatures. Aquaculture, 516, 734627.
  13. Zhang, L., Guo, K., Zhang, G.-Z., Lin, L.-H., & Ji, X. (2018). Evolutionary transitions in body plan and reproductive mode alter maintenance metabolism in squamates. BMC Evolutionary Biology, 18, 45.
  14. Zhang, L., Yang, F., Wang, Z., & Zhu, W. (2017). Role of thermal physiology and bioenergetics on adaptation in tree shrew (Tupaia belangeri): The experiment test. Scientific Reports, 7, 41352.
  15. Zhang, L., Yang, F., Cai, J., Huang, C., Wang, Z., & Zhu, W. (2015). The role of photoperiod on the expression of hypothalamic genes regulating appetite in Chevrier’s field mouse (Apodemus chevrieri). Animal Biology, 65, 45–56.

 

 

 

Wenlong Zhang | Oilfield chemicals | Best Researcher Award

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Dr. Wenlong Zhang | Oilfield chemicals | Best Researcher Award

Lecturer at Wenlong Zhang, Changzhou University, China

Dr. Wenlong Zhang is a dedicated lecturer at Changzhou University, specializing in oilfield chemistry and advanced materials. His research focuses on innovative solutions for enhancing hydraulic fracturing and Enhanced Oil Recovery (EOR) through the development of viscoelastic surfactants, water-soluble polymers, nanofluids, and degradable materials 🛢️💡. With a deep commitment to exploring new chemical formulations, he has made significant strides in improving wettability alteration and surfactant adsorption for more efficient oil recovery 🌍⚡.

Publication Profile : 

Scopus

Orcid

 

🎓 Educational Background :

Dr. Zhang holds a PhD in Chemical Engineering and has built an impressive academic and professional portfolio. His expertise lies in colloids, interfaces, and oilfield chemicals, applying these to real-world challenges in energy production 🌱💧.

💼 Professional Experience :

Dr. Zhang has been actively engaged in academic research for several years, contributing significantly to the fields of oilfield chemistry, material science, and hydraulic fracturing. He has led numerous projects that bridge the gap between industry needs and academic research, with a focus on developing environmentally friendly and sustainable materials for oil extraction and other industrial applications 🏗️🌿. His work has not only contributed to theoretical advancements but has also been instrumental in practical applications, evidenced by his ongoing industry collaborations and patent applications 🏅📈.

📚 Research Interests : 

  • Viscoelastic surfactants & water-soluble polymers
  • Nanofluids for energy applications
  • Wettability alteration in petroleum systems
  • Surfactant adsorption and their impact on oil recovery
  • Degradable materials for environmentally conscious technologies 🌐🛢️

📝 Publication Top Notes :

  1. Zhang, W., Mao, J., Yang, Y., Yang, X., & Wang, L. (2024). The development and performance of a Gemini viscoelastic surfactant with tricationic groups applied in unconventional oil and gas reservoir stimulation. ChemistrySelect, 9(23), e202400399.
  2. Zhang, W., Wan, L., Fan, Y., Zhang, Y., & Wang, L. (2023). Construction and mechanism study of clean N2 foam fracturing fluid stabilized by viscoelastic surfactant in concentrated brines for unconventional oil and gas. Journal of Molecular Liquids, 390, 123168.
  3. Zhang, W., Wang, L., Li, H., Liu, X., & Wang, L. (2023). A Gemini viscoelastic surfactant stabilized by steric hindrance group on its spacer to construct wormlike micelle structure in concentrated brines. Journal of Molecular Liquids, 385, 122275.
  4. Shen, J., Lu, P., Zhang, W., Wang, L., & Wang, L. (2023). Fabrication of porous titanium-based β-PbO2 electrode with graphene oxide intermediate layer for enhanced electrochemical performance in degradation of 4-chloro-2-nitrophenol. International Journal of Electrochemical Science, 18(12), 100377.
  5. Huang, Z., Mao, J., Cun, M., Liu, B., & Xiao, Y. (2022). Polyhydroxy cationic viscoelastic surfactant for clean fracturing fluids: Study on the salt tolerance and the effect of salt on the high temperature stability of wormlike micelles. Journal of Molecular Liquids, 366, 120354.
  6. Jia, Z., Zuo, C., Cai, H., Yin, J., & Zhang, W. (2022). A salt-resistant sodium carboxymethyl cellulose modified by the heterogeneous process of oleate amide quaternary ammonium salt. Polymers, 14(22), 5012.
  7. Zhang, W., Mao, J., Jia, Z., Bao, D., & Zeng, W. (2021). Design of a salt-tolerant Gemini viscoelastic surfactant and the study of construction of wormlike micelle structure in high-salinity aqueous environment. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 631, 127653.
  8. Cun, M., Mao, J., Sun, H., Lin, C., & Huang, Z. (2021). Development of a novel temperature-resistant and salt-resistant double-cationic surfactant with “super thick hydration layer” for clean fracturing fluid. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 617, 126306.
  9. Tian, J., Mao, J., Zhang, W., Lin, C., & Cun, M. (2021). Salinity- and heat-tolerant VES (viscoelastic surfactant) clean fracturing fluids strengthened by a hydrophobic copolymer with extremely low damage. ChemistrySelect, 6(9), 2126–2143.
  10. Bao, D., Zhou, C., Wang, L., Jia, Z., & Zhang, W. (2021). Sealing mechanism based on force chain and experimental investigation of sealing fractures. Lithosphere, 2021(Special Issue 1), 2573782.

 

 

 

Hongyun Zhang | Materials surface | Best Researcher Award

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Prof. Dr. Hongyun Zhang | Materials surface | Best Researcher Award

Professor and CNKI review specialist at Kaili University, China

Hongyun Zhang is a Professor at the School of Big Data Engineering, Kaili University, China, with expertise in superhydrophobicity, icephobic materials, and sensor technology, as well as teaching for the Internet of Things. He earned his Ph.D. from Xiangtan University in 2013, later joining Kaili University as an associate professor. Zhang has published over 40 articles, including 11 SCI and ESCI papers, and holds five national patents. His research projects have been funded by the Guizhou Province Science and Technology Department, and he serves as a review specialist in CNKI’s expert database. Zhang’s work has received 207 citations, and he actively contributes to innovations in material science and device engineering.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Hongyun Zhang earned his Ph.D. from Xiangtan University in June 2013. His academic journey began with a career as a middle school teacher in Zhejiang Province, China, before he advanced to become an associate professor at Kaili University in Guizhou Province. Alongside his academic role, Dr. Zhang was invited to serve as the director of the postgraduate program at Hangzhou Normal University.

💼 Professional Experience :

Currently a professor at the School of Big Data Engineering, Kaili University, Dr. Zhang brings extensive experience to his teaching and research. He has contributed significantly to basic education and higher education, with a focus on scientific experiments and the Internet of Things (IoT). As a CNKI review specialist, he is actively involved in academic evaluations and also serves as a senior evaluator for professional technical positions in Qiandongnan state. Furthermore, he is one of the first batch of innovation and entrepreneurship tutors in Guizhou Province.

📚 Research Interests : 

Dr. Zhang’s research spans the fields of superhydrophobicity, icephobic materials, and the development of physical devices as sensors. His work focuses on understanding the thermodynamics of wetting behavior and microstructures for surfaces, contributing to advancements in anti-icing technology and materials science. His research has resulted in numerous publications in top-tier scientific journals, with over 200 citations. He is also working on an upcoming teaching book for IoT engineering.

📝 Publication Top Notes :

  1. Hongyun Zhang, Wen Li*, Guo Ping Fang. “A New Model for Thermodynamic Analysis on Wetting Behavior of Superhydrophobic Surfaces.” Applied Surface Science, 2012, 258, 2707-2716. (SCI)
  2. Hongyun Zhang*, Wen Li*, Daoyi Cui. “Design of Lotus-Simulating: Thermodynamic Analysis Based on a New Methodology.” Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2012, 413, 314-327. (SCI)
  3. Hongyun Zhang*, Wen Li*, Haihua Liu, Daoyi Cui. “Thermodynamic Analysis on Superhydrophobicity Based on Design of a Pillar Model.” Soft Matter, 2012, 8, 10360-10369. (SCI)
  4. Hongyun Zhang*, Wen Li*, Xiaokai Zhang, Fahong Miao, Li Taohai, Haihua Liu. “Determination of the Second Step Microstructures for Superhydrophobic Surfaces.” Surface and Interface Analysis, 2013, 45, 919-929. (SCI)
  5. Hongyun Zhang*, Yousheng Yu, Jinfu Pan, Song Zhang, Xueke Wu, Yongliang Yang. “Structure and Property Analysis for a Superhydrophobic Surface Model with Multi-Scale.” Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2016, 505, 72-85. (SCI)
  6. Hongyun Zhang*, Yongliang Yang, Hu Long, Jie Yang. “Study for Critical Roughness Based on Interfacial Energy.” Physica B: Condensed Matter, 2018, 542, 20-31. (SCI)
  7. Hongyun Zhang*, Yongliang Yang, Hu Long, Lianshuai Huang, Xiaokai Zhang. “Compare Study Between Icephobicity and Superhydrophobicity.” Physica B: Condensed Matter, 2019, 556, 118-130. (SCI)
  8. Hongyun Zhang*, Yongliang Yang, Hu Long, Lianshuai Huang, Xiaokai Zhang, Jie Yang. “Thermodynamic Method for Establishment of Relationship Between Hydrophobicity/Icephobicity and Microstructure.” MethodX, 2019, 6, 513-526. (ESCI)
  9. Hongyun Zhang*, Manlin Ou, Houbing Tang, Yongliang Yang. “Selection of Second Step Micro-Morphology for Anti-Icing Surfaces Based on Icing Time.” Materials Today Communications, 2024, 39, 109099. (SCI)
  10. Hongyun Zhang*, Yongliang Yang, Jinfu Pan. “Measurement for Overweight and Weightlessness.” Experimental Technology and Management, 2019, 36(04), 83-86. (CSCD)
  11. Hongyun Zhang, Xiaokai Zhang, Yongliang Yang*. “Analysis of Difference in Micro-Morphology for Anti-Icing Based on Adhesion Work.” Journal of Shihezi University (Natural Science), 2024, 42(04), 404-413. (CSCD)
  12. Haihua Liu, Hongyun Zhang, Wen Li*. “Thermodynamic Analysis on Wetting Behavior of Hierarchical Structured Superhydrophobic Surfaces.” Langmuir, 2011, 27(10), 6260-6267. (SCI)
  13. Yazhuo Guan, Hongyun Zhang, Wen Li*. “First-Principle Study on Alloying Stability, Electronic Structure, and Mechanical Properties of Al-Based Intermetallics.” Physica B, 2011, 406, 1149-1153. (SCI)

 

 

 

Jingcai Yu | Transportation | Best Researcher Award

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Dr. Jingcai Yu | Transportation | Best Researcher Award

lecturer at Xihua University, China

Dr. Jingcai Yu is a dedicated transportation engineer and researcher with expertise in public transportation and traffic safety. He earned his Doctor of Engineering degree from Southeast University’s School of Transportation, where he specialized in travel behavior modeling and transit adoption studies. Currently based at Xihua University in Chengdu, China, Dr. Yu has published extensively in peer-reviewed journals, contributing valuable insights into the effects of attitudes, sociodemographic factors, and traffic conditions on transit and mobility choices. His work addresses emerging challenges in urban mobility, particularly through studies on flexible transit routes and shared autonomous vehicles, highlighting his commitment to advancing sustainable and efficient transportation solutions.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Dr. Jingcai Yu completed his Doctorate in Engineering in Transportation at the School of Transportation, Southeast University, China. His doctoral research focused on public transportation, travel behavior modeling, and traffic safety, areas in which he has since made numerous academic contributions.

💼 Professional Experience :

Dr. Yu is currently based at Xihua University in Chengdu, China, where he holds an academic position. He engages in teaching, research, and academic mentorship, primarily within the field of transportation engineering. Through his role at Xihua University, Dr. Yu applies his expertise in public transit systems, travel behavior analysis, and transportation safety to help address urban mobility challenges. His work includes investigating the factors influencing the adoption of flexible route transit systems, carsharing, and shared autonomous vehicles. Dr. Yu’s research outputs, published in prestigious journals, have significantly contributed to the fields of transportation safety, autonomous vehicle studies, and public transit utilization.

📚 Research Interests : 

Dr. Jingcai Yu’s research interests encompass public transportation systems, travel behavior modeling, and traffic safety. He focuses on innovative transit solutions such as flex-route transit systems, shared autonomous vehicles, and carsharing. His work also investigates factors affecting crash severity and traffic violations, as well as advanced prediction models for urban traffic flow.

📝 Publication Top Notes :

  1. Yu, J., Wang, S., Wang, B., Li, W., & Feng, T. (2024). Effects of COVID-19 on Flex Route Transit Utilization: An Interrupted Time Series Analysis. Research in Transportation Business & Management, 50, 101230.
  2. Yu, J., Li, W., Yin, Z., Zheng, Y., & Guo, R. (2024). Segmenting and exemplifying potential Flex route transit adopters. Transportation Research Record, 2678(9), 791-806. (SCI)
  3. Yu, J., Lin, Q., Ding, H., Li, W., & Feng, T. (2024). Examining individuals’ adoption of flex route transit. Transportation Planning and Technology, 47(7), 996-1021. (SCI)
  4. Yu, J., Li, W., Song, Z., Wang, S., Ma, J., & Wang, B. (2023). The role of attitudinal features on shared autonomous vehicles. Research in Transportation Business & Management, 50, 101032. (SCI)
  5. Yu, J., Wang, S., Ma, J., Song, Z., & Li, W. (2023). Roles of attitudinal factors on the adoption stages of carsharing. Transportation Letters, 16(6), 542-553. (SCI)
  6. Yu, J., Zheng, Y., Li, W., Zhang, J., Guo, R., & Wu, L. (2023). Understanding Flex-Route Transit Adoption from a Stage of Change Perspective. Transportation Research Record, 2677(6), 743-758. (SCI)
  7. Yu, J., Li, W., Zhang, J., Guo, R., & Zheng, Y. (2023). Understanding the effect of sociodemographic and psychological latent characteristics on flex-route transit acceptance. PLOS ONE, 18(2), e0279058. (SCI)
  8. Wang, S., Yu, J.*, & Ma, J. (2023). Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities. Travel Behaviour and Society, 33, 100636. (SCI)
  9. Ma, J., Ren, G., Li, H., & Yu, J. (2022). Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China. Journal of Transportation Safety & Security, 1-21. (SCI)
  10. Wang, S., Li, Z., Wang, B., & Yu, J. (2022). Velocity obstacle-based collision avoidance and motion planning framework for connected and automated vehicles. Transportation Research Record, 2676(5), 748-766. (SCI)
  11. Zheng, Y., Wang, S., Li, W., & Yu, J. (2022). Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism. Physica A: Statistical Mechanics and its Applications, 608, 128274. (SCI)
  12. Ma, J., Ren, G., Wang, S., & Yu, J. (2022). Characterizing the effects of contributing factors on crash severity involving e-bicycles: A study based on police-reported data. International Journal of Injury Control and Safety Promotion, 29(4), 463-474. (SCI)
  13. Ma, J., Ren, G., Fan, H., Wang, S., & Yu, J. (2021). Determinants of traffic violations in China: A case-study with a partial proportional odds model. Journal of Transportation Safety & Security, 1-21. (SCI)